{"id":"W122957206","doi":"10.5555/1556176.1556241","title":"A new framework for analyzing political news","year":2009,"lang":"en","type":"article","venue":"International Conference on Digital Government Research","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Politics; Computer science; Ontology; Order (exchange); Information retrieval; Data science; Political science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003462201,0.001077704,0.001061856,0.008218395,0.001864357,0.007713499,0.001959423,0.00131939,0.005497238],"category_scores_gemma":[0.00754522,0.0005767555,0.002408942,0.007345587,0.002867114,0.01002956,0.001882317,0.002162454,0.001574055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453148,"about_ca_system_score_gemma":0.001914577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005690549,"about_ca_topic_score_gemma":0.003728991,"domain_scores_codex":[0.9969552,0.0008740738,0.0003106165,0.0009235397,0.0007714711,0.0001650992],"domain_scores_gemma":[0.9968531,0.001411334,0.000334666,0.0006961415,0.0005525713,0.0001522996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004285584,0.000108794,0.002391403,0.0002633463,0.0001017134,0.0001628767,0.001236201,0.008937132,0.002543674,0.8544389,0.005678888,0.1240942],"study_design_scores_gemma":[0.00004773754,0.0000878006,0.002112885,0.0001282648,0.0001235705,0.0003425094,0.001069292,0.1570232,0.002797226,0.6857641,0.1504302,0.0000733523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003051183,0.000291775,0.9887001,0.0005022733,0.0001216402,0.0001442394,0.0004015186,0.0004105143,0.006376721],"genre_scores_gemma":[0.05728342,0.0005165595,0.9350916,0.0002023437,0.0003807283,0.0004192859,0.00123097,0.0002060257,0.004669123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008218395,"threshold_uncertainty_score":0.01839012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370495776574001,"score_gpt":0.4195985893732581,"score_spread":0.282549011715858,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}